Multifunctional graphene thermal switch material with adaptive heat control, flame retardant and machine learning-assisted monitor for high-efficiency battery management
Year: 2026
Type: article
Abstract: Safe and efficient operation of high-energy-density battery systems relies on thermal management. But current methods of thermal management aren't always up to snuff when it comes to thermal response and flame resistance. By manipulating the microstructure of low-grade graphene through gas evaporation and directional freeze-drying, we were able to create a thermally switchable flame-retardant material that can undergo fast transitions. In about 20 seconds at around 140 °C, the material goes from being conductive (1.23 W·m−1·K−1) to being insulating (0.17 W·m−1·K−1), thus combining the roles of efficient heat transfer and thermal insulation. By acting as a separator in nickel-manganese lithium-ion batteries, this material improves the stability of the modules and decreases the dangers of explosions caused by thermal runaway by drastically reducing heat diffusion. Additionally, a thermosensitive flame-retardant composite with many functions based on graphene was created to assist with responsive heat management. In order to facilitate proactive risk assessment, infrared imaging and real-time temperature data were used to detect early-stage thermal abnormalities using the machine learning system. A new, economical, and scalable method for controlling electric vehicle and energy storage battery safety has been developed through the combination of intelligent detection and thermal switching. This method promotes improvements in performance and inherent safety.
Source: Composites Part B Engineering
Authors: Haiqin Zhang, Yihao Li, Peng Wang, Song Shi, Lili Zheng, Tianle Zhang, Hongyao Xue, Zhiming Liu, Mingjia Li, Yan He
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,210
OpenAlex ID: W7127200219
